On distributed detection with correlated local detectors

Moshe Kam, Qiang Zhu, W. Steven Gray

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Recently, Z. Chair and P. R. Varshney (1986) have solved the data fusion problem for n fixed binary local detectors with statistically independent decisions. Their solution is generalized by using the Bahadur-Lazarfeld expansion of probability density functions. The optimal data fusion rule is developed for correlated local binary decisions, in terms of the conditional correlation coefficients of order 1, 2, ..., n. It is shown that when all these coefficients are zero, the rule coincides with the original Chair-Varshney design.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
PublisherPubl by American Automatic Control Council
Pages2174-2175
Number of pages2
ISBN (Print)0879425652, 9780879425654
DOIs
StatePublished - 1991
Externally publishedYes
EventProceedings of the 1991 American Control Conference - Boston, MA, USA
Duration: Jun 26 1991Jun 28 1991

Publication series

NameProceedings of the American Control Conference
Volume3
ISSN (Print)0743-1619

Other

OtherProceedings of the 1991 American Control Conference
CityBoston, MA, USA
Period6/26/916/28/91

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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